How to Actually Scrape Twitter/X Data with n8n
AI Summary
Summary of Twitter Scraping Workflow
Overview
- Demonstrates a workflow for scraping tweets from Twitter (X) for various analyses (market, competitor, news).
- Provides resources like a Google Sheet template and workflow for free via a community.
Workflow Steps
- Setup
- Access a specific API to scrape tweets.
- The initial setup allows scraping 3 runs, adjustable to fetch more.
- Each run updates a Google Sheet with tweet data (ID, URL, content, likes, retweets, replies, quotes, views, date).
- API Setup
- Utilize Twitter API for accessing tweet data (pay-as-you-go pricing).
- Example: 1,000 tweets for $0.15.
- API documentation provides endpoint information and functionalities.
- Making HTTP Requests
- Use curl commands from API docs to simplify importing requests into workflow.
- Set authentication and parameters (like query and query type).
- Pagination is integrated via cursor for efficiently retrieving multiple pages of tweets.
- Data Extraction & Google Sheets
- Extract relevant tweet data from API responses.
- Append extracted data into a designated Google Sheet.
- Example: mapping tweet details to specific columns in the sheet.
- Scheduled Scraping
- Ability to automate scheduled scrapes for consistent data updates (e.g., daily tweets on AI news).
- Implement logic for dynamic cursor management during pagination to ensure accurate results.
Conclusion
- Suggests continued exploration of the Twitter API for further use cases.
- Emphasizes ease of setting up and running the workflow due to provided resources.
Additional Resources
- Join community for access to templates and further guidance on API usage and data handling.